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SOFTWARE DEVELOPER 2 Chemical Engineering to be responsible for the full cycle fullstack software development at the Machine Learning for Pharmaceutical Discovery and Synthesis (MLPDS) consortium at MIT. Responsible for continued development and maintenance of a webbased application deploying machine learning models for chemical synthesis planning and property prediction ASKCOS; advancing best practices in close collaboration with research labs through integration of latest machine learning models design and implementation of new features as well as continuous improvement for scalability and robustness; writing code in JavaScript (Vue 3) Python bash styling in css and other languages as necessary; maintaining and improving a modern frontend web application to set up parameters for and view the results from machine learning predictions for chemical compounds; maintaining and improving a microservicebased backend infrastructure including the API gateway and various ML prediction services; working with students and postdocs to integrate research products (code and models) into the web application to make them easily accessible to users; and working on modernization and professionalization of existing code to improve code quality maintainability and performance through profiling logging and refactoring as appropriate.
Job Requirements
REQUIRED: Bachelors degree in the physical/chemical sciences computer science or related technical field; a minimum of five years of relevant programming experience; fluency and experience in both Python and JavaScript; experience developing webbased single page applications with the Vue 3 Javascript framework and using CSS styling; and familiarity using cloud environments like AWS for development. PREFERRED: a minimum of two years of experience working with scientist/engineers to develop and refine computer codes for application in the physical sciences; experience working with large codebases containerization microservices testing and continuous integration pipelines; knowledge of PyTorch or other related machine learning code; and familiarity with cheminformatics chemical synthesis planning and/or property prediction. Job #249229
Revised 4/24/2025
Full-Time